TaplierShiru

TaplierShiru's Stars

• nomic-ai/gpt4all

  GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

  Language:C++71.7k6482.1k7.8k

• ggerganov/llama.cpp

  LLM inference in C/C++

  Language:C++70.7k5604.3k10.2k

• meta-llama/llama

  Inference code for Llama models

  Language:Python57.2k5281.1k9.7k

• karpathy/nanoGPT

  The simplest, fastest repository for training/finetuning medium-sized GPTs.

  Language:Python38.5k3883216.2k

• lm-sys/FastChat

  An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

  Language:Python37.5k3521.8k4.6k

• pola-rs/polars

  Dataframes powered by a multithreaded, vectorized query engine, written in Rust

  Language:Rust31.4k1669.6k2k

• eriklindernoren/ML-From-Scratch

  Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

  Language:Python24.2k941734.6k

• NVlabs/instant-ngp

  Instant neural graphics primitives: lightning fast NeRF and more

  Language:Cuda16.2k2031k1.9k

• WongKinYiu/yolov7

  Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

  Language:Jupyter Notebook13.5k1101.8k4.2k

• BlinkDL/RWKV-LM

  RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

  Language:Python13k133228882

• IDEA-Research/GroundingDINO

  [ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

  Language:Python7.2k45311728

• Lightning-AI/lit-llama

  Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

  Language:Python6k71270518

• quark0/darts

  Differentiable architecture search for convolutional and recurrent networks

  Language:Python3.9k86167843

• fudan-zvg/Semantic-Segment-Anything

  Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).

  Language:Python2.2k1958139

• hkchengrex/XMem

  [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

  Language:Python1.8k21136195

• cvg/nice-slam

  [CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM

  Language:Python1.5k34120195

• apchenstu/TensoRF

  [ECCV 2022] Tensorial Radiance Fields, a novel approach to model and reconstruct radiance fields

  Language:Python1.2k2272153

• jacobgil/vit-explain

  Explainability for Vision Transformers

  Language:Python886626103

• wenbowen123/BundleTrack

  [IROS 2021] BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models

  Language:C++628189367

• USTC3DV/NDR-code

  【NeurIPS 2022 Spotlight】Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D Camera

  Language:Python517111659

• chenhsuanlin/3D-point-cloud-generation

  Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction :grapes: (AAAI 2018)

  Language:Python429181894

• DrugowitschLab/ML-from-scratch-seminar

  This repository is part of a "Machine Learning from Scratch" seminar at Harvard Medical School.

  Language:Jupyter Notebook28222024

• hujiecpp/YOSO

  Code release for paper "You Only Segment Once: Towards Real-Time Panoptic Segmentation" [CVPR 2023]

  Language:Python26032521

• zubair-irshad/shapo

  Pytorch code for ECCV'22 paper. ShAPO: Implicit Representations for Multi-Object Shape, Appearance and Pose Optimization

  Language:Python18682211

• likojack/bnv_fusion

  This repository implements our CVPR2022 paper "BNV-Fusion: Dense 3D Reconstruction using Bi-level Neural Volume Fusion"

  Language:Python13651619

• rehg-lab/3DShapeGen

  Code for 3D Reconstruction of Novel Object Shapes from Single Images paper

  Language:Python12561719

• smartscenes/multiscan

  MultiScan: Scalable RGBD scanning for 3D environments with articulated objects

  Language:Python11941710

• junshengzhou/3DAttriFlow

  [CVPR'2022]: 3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow

  Language:Python545186

• edward1997104/Neural-Template

  Neural Template: Topology- aware Reconstruction and Disentangled Generation of 3D Meshes (CVPR 2022)

  Language:Python4011149

• ActiveVisionLab/ray-onet

  Language:Python31672