OpenMOSS / MOSS-Image
Official repository for MOSS-Image, a 5B-parameter base DiT model with high-quality text rendering, layout generation, and efficient fine-tuning.
OpenMOSS / MOSS-Image
jingyaogong / minimind
🧠 Train a 64M-parameter LLM from scratch in just 2h!
ray-project / ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
huggingface / peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
open-edge-platform / anomalib
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
deepspeedai / DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
modelscope / ms-swift
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.8, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM5.3, Gemma4, Llava, Phi4, ...) (AAAI 2025).
autogluon / autogluon
Fast and Accurate ML in 3 Lines of Code
jingyaogong / minimind-v
👀 Train a 65M-parameter VLM from scratch in just 2h!
canberk7 / ema-lightning
Tiny, fast and accurate Turkish text-to-speech. 8.6M parameters, 0.92% WER on Freya-TR-Eval, first audio in ~4 ms and 1,300× real time on one GPU. Streams audio, batches many callers on one GPU, and runs offline on a GPU or CPU.
Birfy / agentdescent
Gradient descent, but the parameters are agents — a parallel, asynchronous framework for self-evolving agents (skills, prompts, harnesses). Diffs are the gradients; the aggregator is the optimizer.
skypilot-org / skypilot
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
openai / parameter-golf
Train the smallest LM you can that fits in 16MB. Best model wins!
DLR-RM / rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
NaiveAI-Labs / Naive-N0.5-Flash
Naive-N0.5-Flash is an open-weight 309B MoE model with 15.5B active parameters, built for coding and AI R&D.
sahilmahendrakar / paradee
An 8M-parameter English text-to-speech model distilled from Kokoro-82M. 9 MB, runs 18x real time on one CPU thread.
harrrshall / barunlm-35m
BarunLM-35M: a parameter-efficient 35M base language model trained on 5.7B tokens
optuna / optuna
A hyperparameter optimization framework
wandb / wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
hyperopt / hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
Andyyyy64 / whichllm
Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly.
nteract / papermill
📚 Parameterize, execute, and analyze notebooks
mljar / mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
meta-recsys / generative-recommenders
Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
kubeflow / katib
Automated Machine Learning on Kubernetes
google / vizier
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
autonomio / talos
Hyperparameter Experiments with TensorFlow and Keras
gempy-project / gempy
GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.
automl / SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
lmfit / lmfit-py
Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.
AgileRL / AgileRL
The complete post-training stack for LLMs, plus RL for any problem. SFT, DPO and multi-turn agentic RL, with evolutionary hyperparameter optimization built in.
sbi-dev / sbi
sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has you covered.
optuna / optuna-examples
Examples for https://github.com/optuna/optuna
aimclub / FEDOT
Automated modeling and machine learning framework FEDOT
simpeg / simpeg
Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
anmolksachan / TheTimeMachine
Weaponizing WaybackUrls for Recon, BugBounties , OSINT, Sensitive Endpoints and what not
holoviz / param
Declarative parameters for robust Python classes and a rich API for reactive programming
CyberAgentAILab / cmaes
Python library for CMA Evolution Strategy.
Zihan-Su / Self_Gradient_Forcing_Plus
Autoregressive video generation with decoupled context-writing and denoising parameters, enabling up to 24-hour generation from 5s training windows.
apimart-api-ai-Aggregator / seedance-2.0-api
Seedance 2.0 API (seedance-2.0 / seedance-2.0-mini / seedance-2.0-fast): per-second pricing by resolution, text-to-video and image-to-video examples, parameters and limits.
savellonirourou107-hue / SLX-Studio
A lightweight desktop IDE for editing and running MATLAB .m scripts and Simulink .slx models, with visual editing, plots, parameter sweeps, and AI assistance.
QLNI / SHADOW-250M-Instruct
250M parameter language model. 100M-token offline context. 60 MB deployment, 400 tok/s on a laptop CPU.
cneuralnetwork / smol-kimi-k3
A 49M-parameter Kimi K3-inspired language model trainable on one 8GB GPU
nmj94 / momentum-lab
Find the optimal momentum trading strategy for any asset. Just provide a ticker. 26 strategies, 1.6M+ parameter combinations, regime-aware adaptive switching.
fanfanyuyang / bid-agent-vscode
Intelligent Parsing Agent for Electrical Tender Documents – A seven-step workflow + document processing ledger, enabling multi-format uploads, automatic equipment parameter extraction, evidence review, and closed-loop manual verification. Supports hot-switching between DeepSeek and local graphics card LLM.
apimartlt3f / gemini-2.5-flash-image-preview-official-api-ja
Nano Banana (official) API (`gemini-2.5-flash-image-preview-official`): model id, pricing, parameters and copy-paste examples for the OpenAI-compatible APIMart endpoint.
apimartkjp84 / grok-imagine-image-2.0-api-ja
Grok Imagine Image 2.0 API (`grok-imagine-image-2.0`): model id, pricing, parameters and copy-paste examples for the OpenAI-compatible APIMart endpoint.
Kai26-Han / miniLLM
从 0 训练大模型，单卡训练一个 200M 参数模型的全流程（train a 200M‑parameter model from scratch）
apimartyr1ot / gemini-2.5-flash-image-preview-official-api-cn
Nano Banana (official) API (`gemini-2.5-flash-image-preview-official`): model id, pricing, parameters and copy-paste examples for the OpenAI-compatible APIMart endpoint.
azle5biyd9td956 / z-image-turbo-api-cn
Z-Image Turbo API (`z-image-turbo`): model id, pricing, parameters and copy-paste examples for the OpenAI-compatible APIMart endpoint.
apimartjx02t2cb / gemini-3.1-flash-image-preview-official-api-ja
Nano Banana 2 (official) API (`gemini-3.1-flash-image-preview-official`): model id, pricing, parameters and copy-paste examples for the OpenAI-compatible APIMart endpoint.
apimartbv / gemini-3-pro-image-preview-official-api-cn
Nano Banana Pro (official) API (`gemini-3-pro-image-preview-official`): model id, pricing, parameters and copy-paste examples for the OpenAI-compatible APIMart endpoint.
apimartlzras0rk / gpt-image-2-official-api-ko
GPT Image 2 (official) API (`gpt-image-2-official`): model id, pricing, parameters and copy-paste examples for the OpenAI-compatible APIMart endpoint.
apimartlzras0rk / gpt-image-2-official-api-ja
GPT Image 2 (official) API (`gpt-image-2-official`): model id, pricing, parameters and copy-paste examples for the OpenAI-compatible APIMart endpoint.
apimartyr1ot / gemini-2.5-flash-image-preview-official-api-fr
Nano Banana (official) API (`gemini-2.5-flash-image-preview-official`): model id, pricing, parameters and copy-paste examples for the OpenAI-compatible APIMart endpoint.
fulvian / engraft-ngram
ENGRAFT: write facts into an LLM's n-gram (Engram) memory table as a removable overlay: 100 facts in a 9 MB file, no weights touched, verified on llama.cpp GGUF (Qwen3.8-Flash-Next).
apimartoh / gemini-3.1-flash-image-preview-official-api-cn
Nano Banana 2 (official) API (`gemini-3.1-flash-image-preview-official`): model id, pricing, parameters and copy-paste examples for the OpenAI-compatible APIMart endpoint.
apimartkjp84 / grok-imagine-image-2.0-api-ko
Grok Imagine Image 2.0 API (`grok-imagine-image-2.0`): model id, pricing, parameters and copy-paste examples for the OpenAI-compatible APIMart endpoint.
chilly23 / RP2040-and-ESP32-AI
Run a 28.9M-parameter TinyLM on ESP32-S3 with an RP2040 OLED display node for fully local embedded AI inference.
apimarte80m2k / gemini-3-pro-image-preview-official-api-ko
Nano Banana Pro (official) API (`gemini-3-pro-image-preview-official`): model id, pricing, parameters and copy-paste examples for the OpenAI-compatible APIMart endpoint.