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chatgpt-on-wechat

基于大模型搭建的微信聊天机器人，同时支持微信、企业微信、公众号、飞书、钉钉接入，可选择GPT3.5/GPT4.0/Claude/文心一言/讯飞星火/通义千问/Gemini/GLM-4/LinkAI，能处理文本、语音和图片，访问操作系统和互联网，支持基于自有知识库进行定制企业智能客服。

consistent_depth

We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.

cv-backbones

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

dlgsanet

downloadimage

根据关键词在360、百度、bing搜索并下载图片

edsr-pytorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

finrl

FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥

freqtrade

Free, open source crypto trading bot

fresco

[CVPR 2024] FRESCO: Spatial-Temporal Correspondence for Zero-Shot Video Translation

instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

leetcode-go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

ml-cvnets

CVNets: A library for training computer vision networks

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

nerf-supervised-deep-stereo

A novel paradigm for collecting and generating stereo training data using neural rendering

object-detection

Object Detection

pinto_model_zoo

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]

pytorch-hitnet-hierarchical-iterative-tile-refinement-network-for-real-time-stereo-matching

HITNet implementation using PyTorch

robustvideomatting

Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!

roop

one-click deepfake (face swap)

so-vits-svc

SoftVC VITS Singing Voice Conversion

st-clstm

Code of paper: Exploiting temporal consistency for real-time video depth estimation (ICCV 2019)

t2t-vit

ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

test