The job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.
Official repository for MOSS-Image, a 5B-parameter base DiT model with high-quality text rendering, layout generation, and efficient fine-tuning.
A faster, leaner fork of the superpowers workflow for Claude Code: one approval gate, parallel waves, routed models. 3.9x faster in benchmark at equal quality.
—
DeepSeek-V4.1-Flash-1017 EXL3 2.9bpw on 2x NVIDIA DGX Spark (GB10) with TensorFold: 2.1-2.3x the vLLM kit's decode speed.
Dynamic Band Splitting (DBS) for ComfyUI: separate a soundtrack into music, sound effects and speech; remove or keep the dialogue of a video. Same output as the official package.
Repositorio oficial de skills para el entorno Mexicano caótico.
🧠 Train a 64M-parameter LLM from scratch in just 2h!
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
Summer 2027 software engineering, data science, AI, quant, product management, and hardware internship postings. Updated daily by Simplify and Pitt CSC.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Making large AI models cheaper, faster and more accessible
:zap: A Fast, Extensible Progress Bar for Python and CLI
GUI for a Vocal Remover that uses Deep Neural Networks.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.
Ongoing research training transformer models at scale
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
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).
A hyperparameter optimization framework
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
Parallel computing with task scheduling
A PyTorch-based Speech Toolkit
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
NumPy aware dynamic Python compiler using LLVM
Fast and Accurate ML in 3 Lines of Code
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
End-to-End Speech Processing Toolkit
The leading native Python SSHv2 protocol library.
Ruta de estudio basada en ejercicios de código de la comunidad MoureDev para aprender y practicar lógica usando cualquier lenguaje de programación.
👀 Train a 65M-parameter VLM from scratch in just 2h!
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
Distributed Asynchronous Hyperparameter Optimization in Python
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
SenseNova-U series: Native Unified Paradigm with NEO-unify from the First Principles
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.
📚 Parameterize, execute, and analyze notebooks
FunASR-powered video transcription, subtitle generation, and LLM-assisted clipping tool with a local Gradio UI.
一款专注于Ai翻译的工具,一键自动翻译RPG SLG游戏,Epub TXT小说,PDF Word MD文档,Srt Vtt Lrc字幕等等复杂长文本。
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
AI가 쓴 한글을 사람 글처럼 윤문하는 Claude 스킬 — Korean AI-text humanizer: detects and rewrites translationese, mechanical parallelism, and 71 other AI tells
A python parametric CAD scripting framework based on OCCT
Ejercicios de código semanales en 2023 de la comunidad MoureDev para practicar lógica en cualquier lenguaje de programación.
Daily updated list of Tech Company OAs and Interview Problems. Save your time from finding them all over the internet.
📚A curated list of Awesome LLM/VLM Inference Papers with Codes: Flash-Attention, Paged-Attention, WINT8/4, Parallelism, etc.🎉
Train the smallest LM you can that fits in 16MB. Best model wins!
【三年面试五年模拟】AIGC/LLM/AI Agent算法工程师面试资源平台。涵盖AIGC、LLM大模型、AI Agent、具身智能、传统深度学习、计算机视觉、自然语言处理、自动驾驶、机器学习、强化学习、大数据挖掘、世界模型、元宇宙、AGI等AI行业面试笔试干货经验与核心跨周期知识。
Computing with Python functions.
Multi-vendor library to simplify Paramiko SSH connections to network devices
Welcome to the SDE Interview Preparation Roadmap! This repository is not just about my personal journey; it's a collaborative space for collective learning. As I prepare for Software Development Engineer (SDE) interviews, I've created a comprehensive checklist to guide my preparation.
Switch between multiple Claude Code accounts, with automatic rate-limit rotation, usage dashboard, and parallel sessions
A high-performance distributed training framework for Reinforcement Learning
Open-source pipeline for rewriting AI-generated text into natural human prose. Need it in your app? Try the Lynote Humanizer API → lynote.ai/ai-humanizer-api
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Minimalistic large language model 3D-parallelism training
Long Video Gen / World Model / World Action Model (Embodied) Infrastructure
xDiT: A Scalable Inference Engine for Diffusion Transformers (DiTs) with Massive Parallelism
The PyTorch-based audio source separation toolkit for researchers