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Tensors and Dynamic neural networks in Python with strong GPU acceleration
Models and examples built with TensorFlow
A high-throughput and memory-efficient inference and serving engine for LLMs
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to clo…
TensorFlow code and pre-trained models for BERT
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Graph Neural Network Library for PyTorch
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
☁️ Build multimodal AI applications with cloud-native stack
verl: Volcano Engine Reinforcement Learning for LLMs
SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]
Datasets, Transforms and Models specific to Computer Vision
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & TIS & vLLM & Ray & Async RL)
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discr…
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
Efficiently computes derivatives of NumPy code.
Example models using DeepSpeed
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Facilitating the design, comparison and sharing of deep text matching models.
A high performance and generic framework for distributed DNN training
Tensorflow Faster RCNN for Object Detection
Lightning-Fast RL for LLM Reasoning and Agents. Made Simple & Flexible.
Classic papers and resources on recommendation