NVIDIA / TransformerEngine

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.

openai / human-eval

Code for the paper "Evaluating Large Language Models Trained on Code"

meizhong986 / WhisperJAV

ASR/STT subtitle generator. Uses Qwen3-ASR, local LLM, Whisper, TEN-VAD. Noise-robust for JAV

helallao / perplexity-ai

Unofficial API Wrapper for Perplexity.ai + Account Generator with Web Interface

OpenOSINT / OpenOSINT

AI-powered OSINT agent with interactive REPL, MCP server, and CLI. 20 tools. Works with Claude, GPT-4, or local models. For authorized security research only.

pybamm-team / PyBaMM

Fast and flexible physics-based battery models in Python

pytorch-tabular / pytorch_tabular

A unified framework for Deep Learning Models on tabular data

scraed / LanPaint

High quality training free inpaint for every stable diffusion model. Supports ComfyUI

verl-project / verl-omni

Multimodal RL training framework for diffusion & omni models

Human-Agent-Society / CORAL

Open-source autoresearch powered by autonomous coding agents. Run Claude Code, OpenCode, and Codex with grading, shared knowledge, and multi-agent evolution. Accepted at COLM 2026.

NVIDIA-NeMo / Megatron-Bridge

Training library for Megatron-based models with bidirectional Hugging Face conversion capability

whitecircle / halo

Halo is an open-source framework built by White Circle for training large language and multimodal models

facebookresearch / context-language-models

Official repository for "Context Language Models"

X-GenGroup / Flow-Factory

A unified framework for easy fine-tuning in Flow-Matching models

AlibabaResearch / SparkDiffusion

SparkDiffusion: Accelerating DiT video generation by 265× via joint Sparsity, Distillation, Quantization, etc.

NVIDIA / flashdreams

high-performance inference and serving library for interactive autoregressive video and world models

TencentARC / WorldCrafter

[Arxiv 2026] WorldCrafter: Consistent Video World Model with Implicit 3D-aware Memory

PostHog / jeeves

Jeeves – Reasoning improves Jev-like decision models

AetherLabsAI / Video2World

Benchmarking Coding Agents for Interactive World Modeling from Embodied Videos - Rethinking Embodied Real2Sim from a Software Engineering Perspective

vstorm-co / agenticos

Open-source AI teammates for your company. The self-hosted agent layer: build, run and govern AI agents on your own servers, models and rules. RAG, skills, a real browser, 4,700+ MCP servers and an API, with budgets, approvals and an audit trail. Apache-2.0, built on Pydantic AI.

Jit-Roy / WeeLLM

WeeLLM runs large diffusion models with as little as 4 GB of VRAM, without any quantization. It dynamically determines how many layers can fit within the available VRAM and streams the text encoder and transformer layers to the GPU layer by layer, enabling inference on hardware with limited VRAM. It supports both safetensors and GGUF models.

heranliu / AlphaResearchOS

Agentic quant research workbench with CSV data inspection, local Codex and compatible APIs, predictive models, independent reviews, and reproducible backtests.

sunovivid / correction-training

Official implementation of "Correction Training for Diffusion Models"

Gamma-Robot / bfm_ttc

Code for Test-Time Compute for Humanoid Behavior Foundation Models

tensorflow / models

Models and examples built with TensorFlow

hpcaitech / ColossalAI

Making large AI models cheaper, faster and more accessible

openai / gpt-oss

gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI

stas00 / ml-engineering

Machine Learning Engineering Open Book

NVIDIA / Megatron-LM

Ongoing research training transformer models at scale

pytorch / vision

Datasets, Transforms and Models specific to Computer Vision

mlfoundations / open_clip

An open source implementation of CLIP.

simonw / llm

Access large language models from the command-line

statsmodels / statsmodels

Statsmodels: statistical modeling and econometrics in Python

huggingface / accelerate

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

bitsandbytes-foundation / bitsandbytes

Accessible large language models via k-bit quantization for PyTorch.

py-why / dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

shenweichen / DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

arcee-ai / mergekit

Tools for merging pretrained large language models.

Eigenwise / atomic-agents

Building AI agents, atomically

alexzhang13 / rlm

General plug-and-play inference library for Recursive Language Models (RLMs), supporting various sandboxes.

camel-ai / oasis

🏝️ OASIS: Open Agent Social Interaction Simulations with One Million Agents.

Nixtla / statsforecast

Lightning ⚡️ fast forecasting with statistical and econometric models.

TheoLeeCJ / SemIf-OpenJev

Semantic ifs from open models, on a 3090 at home. Independent; not affiliated with Jev or TypeSafe.

torchgeo / torchgeo

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

Lightricks / ComfyUI-LTXVideo

LTX-Video Support for ComfyUI

urchade / GLiNER

Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts)

danijar / dreamerv3

Mastering Diverse Domains through World Models

Stability-AI / stable-audio-tools

Generative models for conditional audio generation

NVlabs / GR00T-WholeBodyControl

Welcome to GR00T Whole-Body Control (WBC)! This is a unified platform for developing and deploying advanced humanoid controllers. This includes: Decoupled WBC models used in NVIDIA Isaac-Gr00t, Gr00t N1.5 and N1.6 and GEAR-SONIC

NVIDIA / physicsnemo

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

pgmpy / pgmpy

Python Toolkit for Causal and Probabilistic Reasoning

thu-pacman / chitu

High-performance inference framework for large language models, focusing on efficiency, flexibility, and availability.

bghira / SimpleTuner

A general fine-tuning kit geared toward image/video/audio diffusion models.

ModelTC / LightX2V

Lightweight Image Video Action Generation Inference Framework

linto-ai / whisper-timestamped

Multilingual Automatic Speech Recognition with word-level timestamps and confidence

qualcomm / aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

mflux-community / mflux

Apple MLX native implementations of state-of-the-art generative image & video models

AIStream-Peelout / flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

sapientinc / HRM-Text

HRM-Text is a 1B text generation model based on the HRM architecture, strengthened by task completion and latent space reasoning.

WenjieDu / PyPOTS

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values