An open-source agent-based simulation toolbox for European electricity markets, supporting deep reinforcement learning bidding strategies and grid congestion management modeling.

OtherDeep LearningReinforcement Learning

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A plug-and-play multi-object tracking (MOT) Python library offering modular implementations of classic algorithms like SORT and ByteTrack. Features a detector-agnostic design compatible with any object detection model (YOLO, DETR, etc.), supporting video files, cameras, RTSP streams, and more. Provides unified CLI tools and Python API with built-in evaluation metrics (CLEAR, HOTA, Identity).

MultimodalDeep LearningSDK

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An interactive open-access textbook on Machine Learning Systems engineering from Harvard University, integrating the TinyTorch framework with hands-on edge deployment labs, covering the full spectrum from ML fundamentals to system optimization.

OtherDeep LearningMachine Learning

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A production-ready implementation of InvisPose that enables real-time, camera-free full-body tracking through walls using commodity WiFi mesh routers and CSI signals, with advanced analytics like fall detection and multi-person tracking.

MultimodalDeep LearningDocker

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An LLM post-training framework for RL scaling by Tsinghua THUDM, deeply integrating Megatron-LM training with SGLang inference engine for distributed reinforcement learning on large models like GLM, Qwen, DeepSeek, and Llama.

OtherDeep Learning大语言模型

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The official inference framework for 1-bit Large Language Models by Microsoft. It features optimized kernels for lossless, high-speed inference on CPUs and GPUs, drastically reducing energy consumption and enabling 100B+ parameter models to run on local consumer hardware.

Model & Inference FrameworkPythonPyTorch

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AirLLM optimizes inference memory usage, enabling 70B large language models to run on a single 4GB GPU card without quantization, distillation, or pruning. It now also supports running 405B Llama3.1 models on 8GB VRAM.

Model & Inference FrameworkPythonPyTorch

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A high-throughput, low-latency inference framework designed for serving generative AI and reasoning models in multi-node distributed environments.

Model & Inference FrameworkRustPython

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Microsoft's family of open-source frontier voice AI models including both Text-to-Speech (TTS) and Automatic Speech Recognition (ASR) models, designed for long-form audio processing with multilingual support.

Model & Inference FrameworkPyTorchPython

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An open-source 314B parameter large language model with Mixture of Experts (MoE) architecture, providing researchers and developers with accessible implementation of ultra-large-scale AI models.

Model & Inference FrameworkPythonPyTorch

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