philips21's Stars
THUDM/ChatGLM-6B
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
coqui-ai/TTS
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
rasbt/LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
chatchat-space/Langchain-Chatchat
Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain
hpcaitech/Open-Sora
Open-Sora: Democratizing Efficient Video Production for All
AI4Finance-Foundation/FinGPT
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
netease-youdao/QAnything
Question and Answer based on Anything.
ShishirPatil/gorilla
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
QianMo/Game-Programmer-Study-Notes
:anchor: 我的游戏程序员生涯的读书笔记合辑。你可以把它看作一个加强版的Blog。涉及图形学、实时渲染、编程实践、GPU编程、设计模式、软件工程等内容。Keep Reading , Keep Writing , Keep Coding.
LiheYoung/Depth-Anything
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Instruction-Tuning-with-GPT-4/GPT-4-LLM
Instruction Tuning with GPT-4
DLLXW/baby-llama2-chinese
用于从头预训练+SFT一个小参数量的中文LLaMa2的仓库;24G单卡即可运行得到一个具备简单中文问答能力的chat-llama2.
charent/ChatLM-mini-Chinese
中文对话0.2B小模型(ChatLM-Chinese-0.2B),开源所有数据集来源、数据清洗、tokenizer训练、模型预训练、SFT指令微调、RLHF优化等流程的全部代码。支持下游任务sft微调,给出三元组信息抽取微调示例。
Walter0807/MotionBERT
[ICCV 2023] PyTorch Implementation of "MotionBERT: A Unified Perspective on Learning Human Motion Representations"
AndrewZhe/lawyer-llama
中文法律LLaMA (LLaMA for Chinese legel domain)
FORTH-ModelBasedTracker/MocapNET
We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance
smellslikeml/ActionAI
Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints
zhihaiLLM/wisdomInterrogatory
reasoning-survey/Awesome-Reasoning-Foundation-Models
✨✨Latest Papers and Benchmarks in Reasoning with Foundation Models
fabio-sim/LightGlue-ONNX
ONNX-compatible LightGlue: Local Feature Matching at Light Speed. Supports TensorRT, OpenVINO
jasonacox/TinyLLM
Setup and run a local LLM and Chatbot using consumer grade hardware.
dusty-nv/jetson-voice
ASR/NLP/TTS deep learning inference library for NVIDIA Jetson using PyTorch and TensorRT
IGLICT/NeUDF
The code for "NeUDF: Leaning Neural Unsigned Distance Fields with Volume Rendering (CVPR 2023)"
CUHK-AIM-Group/EndoGaussian
EndoGaussian: Real-time Gaussian Splatting for Dynamic Endoscopic Scene Reconstruction
bcmi/BargainNet-Image-Harmonization
BargainNet: Background-Guided Domain Translation for Image Harmonization. Useful for Image harmonization, image composition, etc.
Alimustoofaa/YoloV8-Pose-Keypoint-Classification
mazurowski-lab/SegmentAnyBone
SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI
AI-Study-Han/Mini-Llama2-Chinese
想要从零开始训练一个中文的mini大语言模型,可以进行基本的对话,模型大小根据手头的机器决定
tooyipjee/Tracer
The Tracer is an open-source ESP32-based Inertial Measurement Unit tracker that allows you to track the motion and orientation of objects and stream the data to your smartphone or computer.
adrida/Temporal_RAG
An approach to perform RAG while taking into account the dynamic evolution of the data. Helpful to detect emerging trends in the data