TimuJ

TimuJ's Stars

• memryx/onnx_bencher

  Benchmark ONNX models with CPUs, GPUs (CUDA/TensorRT), Intel CPU/NPU (OpenVINO), and MemryX MX3

  Language:Python21

• wb-08/face-detection-algorithms-comparison

  Face detection algorithms

  Language:Python153

• kennyvoo/face-occlusion-generation

  [CVPRW 2022] Delving into High-Quality Synthetic Face Occlusion Segmentation Datasets

  Language:Python13814

• sjtuplayer/SaRA

  SaRA: High-Efficient Diffusion Model Fine-tuning with Progressive Sparse Low-Rank Adaptation

  Language:Python1037

• TsinghuaC3I/SoRA

  [EMNLP 2023 Main] Sparse Low-rank Adaptation of Pre-trained Language Models

  Language:Python709

• jeffheaton/app_deep_learning

  T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis

  Language:Jupyter Notebook409154

• pengsida/learning_research

  本人的科研经验

  6.2k373

• yyyujintang/Awesome-Mamba-Papers

  Awesome Papers related to Mamba.

  1.3k66

• Stability-AI/StableCascade

  Official Code for Stable Cascade

  Language:Jupyter Notebook6.6k534

• visionml/pytracking

  Visual tracking library based on PyTorch.

  Language:Python3.3k608

• dautovri/mirrors-china

  Mirrors and registries in Mainland China

  26

• hedzr/mirror-list

  list of Chinese mainland mirrors

  Language:Makefile15913

• HyunSeobKim/CHEM-BERT

  pre-training BERT with molecular data

  Language:Python427

• sjmoran/deeplpf-image-enhancement

  Code for CVPR 2020 paper "Deep Local Parametric Filters for Image Enhancement"

  Language:Python24228

• leeyeehoo/CSRNet

  CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

  3523

• Vicky0522/RSFNet

  [ICCV 2023] RSFNet: A White-Box Image Retouching Approach using Region-Specific Color Filters

  Language:Python352

• microsoft/autogen

  A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour

  Language:Python37.6k5.5k

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python57.9k5.9k

• forcewake/joplin-storage

  Joplin storage for Read It Later and Bookmarking

  112

• hse-ds/iad-deep-learning

  Курс "Основы глубинного обучения" на майноре ИАД

  Language:Jupyter Notebook215116

• luosiallen/latent-consistency-model

  Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

  Language:Python4.4k231

• MorvanZhou/Reinforcement-learning-with-tensorflow

  Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

  Language:Python9k5k

• google/sentencepiece

  Unsupervised text tokenizer for Neural Network-based text generation.

  Language:C++10.5k1.2k

• a-milenkin/Competitive_Data_Science

  Материалы по курсу анализу данных

  Language:Jupyter Notebook268121

• NExT-GPT/NExT-GPT

  Code and models for NExT-GPT: Any-to-Any Multimodal Large Language Model

  Language:Python3.4k343

• salesforce/UniControl

  Unified Controllable Visual Generation Model

  Language:Python62835

• Schuture/Benchmarking-Awesome-Diffusion-Models

  The benchmark of SOTA text-to-image diffusion models with a new benchmarking strategy based on MiniGPT-4, namely X-IQE.

  1153

• lllyasviel/ControlNet

  Let us control diffusion models!

  Language:Python31.2k2.8k

• DmitryRyumin/ICCV-2023-Papers

  ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!

  Language:Python94642

• DmitryRyumin/CVPR-2023-24-Papers

  CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included. ⭐ support visual intelligence development!

  Language:Python43729