tanjatang

tanjatang's Stars

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook28k3244173.5k

• liguodongiot/llm-action

  本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）

  Language:HTML15.5k132271.8k

• NVIDIA/TensorRT

  NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

  Language:C++11.4k1543.9k2.2k

• jobbole/awesome-cpp-cn

  C++ 资源大全中文版，标准库、Web应用框架、人工智能、数据库、图片处理、机器学习、日志、代码分析等。由「开源前哨」和「CPP开发者」微信公号团队维护更新。

  10.4k456152.2k

• facebookresearch/ImageBind

  ImageBind One Embedding Space to Bind Them All

  Language:Python8.6k10196801

• Oneflow-Inc/oneflow

  OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

  Language:C++7.5k2451k824

• udacity/self-driving-car

  The Udacity open source self-driving car project

  Language:Jupyter Notebook6.2k68202.1k

• princeton-nlp/tree-of-thought-llm

  [NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models

  Language:Python5.2k12161496

• mlfoundations/open_flamingo

  An open-source framework for training large multimodal models.

  Language:Python3.9k48176299

• GrindGold/pdf

  📚 计算机经典编程书籍、大黑书、编程电子书、电子书、编程书籍，包括计算机基础、C/C++、Java、Python、面试题、架构设计、算法系列等经典电子书。

  3.5k226435

• liucongg/ChatGLM-Finetuning

  基于ChatGLM-6B、ChatGLM2-6B、ChatGLM3-6B模型，进行下游具体任务微调，涉及Freeze、Lora、P-tuning、全参微调等

  Language:Python2.7k13152309

• mit-han-lab/efficientvit

  Efficient vision foundation models for high-resolution generation and perception.

  Language:Python2.7k39158216

• pytorch/executorch

  On-device AI across mobile, embedded and edge for PyTorch

  Language:C++2.6k66949490

• 666DZY666/micronet

  micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

  Language:Python2.2k40110477

• LitLeo/TensorRT_Tutorial

  Language:C++1k3713188

• MegEngine/InferLLM

  a lightweight LLM model inference framework

  Language:C++718105691

• wayveai/Driving-with-LLMs

  PyTorch implementation for the paper "Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving"

  Language:Python503172548

• lin-shuyu/VAE-LSTM-for-anomaly-detection

  We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.

  Language:Jupyter Notebook50181189

• linxuewu/Sparse4D

  Sparse4D v1 & v2

  Language:Python437126546

• ProgramTraveler/Road-To-Autonomous-Driving

  自动驾驶散修一枚 -> 记录自己对自动驾驶的学习过程和相关学习链接

  Language:Makefile43210062

• wzzheng/OccWorld

  [ECCV 2024] 3D World Model for Autonomous Driving

  Language:Python42373329

• HoyTta0/KnowledgeDistillation

  Knowledge distillation in text classification with pytorch. 知识蒸馏，中文文本分类，教师模型BERT、XLNET，学生模型biLSTM。

  Language:Python2202855

• RupertLuo/Valley

  The official repository of "Video assistant towards large language model makes everything easy"

  Language:Python22043814

• gesanqiu/SNPE_Tutorial

  A simple tutorial of SNPE.

  Language:C++16731541

• duanyiqun/DeWave

  Exploration on introducing discrete codex and raw wave decoding to realize Brain-to-Text translation.

  16619017

• amirarsalan90/personal_llm_assistant

  Language:Python501115

• gesanqiu/Chinese_MobileBert_on_SNPE

  Run Chinese MobileBert model on SNPE.

  Language:C++14114

• tanjatang/snpe_resnet

  snpe tutorial

  Language:C++10101

• haohao11/QCNet

  [CVPR 2023] Query-Centric Trajectory Prediction

  Language:Python1000

• haohao11/trajectory_processing

  Language:Python1102