Ericforfun

Ericforfun's Stars

• FlagOpen/FlagEmbedding

  Retrieval and Retrieval-augmented LLMs

  Language:Python5.9k37843427

• THUDM/AgentBench

  A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)

  Language:Python2k29125134

• bazingagin/npc_gzip

  Code for Paper: “Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors

  Language:Python1.8k2521155

• One-2-3-45/One-2-3-45

  [NeurIPS 2023] Official code of "One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization"

  Language:Python1.5k734581

• YehLi/xmodaler

  X-modaler is a versatile and high-performance codebase for cross-modal analytics(e.g., image captioning, video captioning, vision-language pre-training, visual question answering, visual commonsense reasoning, and cross-modal retrieval).

  Language:Python1k3562111

• zhengchen1999/DAT

  PyTorch code for our ICCV 2023 paper "Dual Aggregation Transformer for Image Super-Resolution"

  Language:Python34954627

• liyunsheng13/micronet

  Language:Python329222627

• Srameo/LED

  [ICCV 2023] Lighting Every Darkness in Two Pairs: A Calibration-Free Pipeline for RAW Denoising && [Arxiv 2023] Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise Model

  Language:Python28483827

• jiggy-ai/pair

  REPL environment for GPT pair programming

  Language:Python2467916

• zhihou7/BatchFormer

  CVPR2022, BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning, https://arxiv.org/abs/2203.01522

  Language:Python24262920

• AmineDiro/cria

  OpenAI compatible API for serving LLAMA-2 model

  Language:Rust21081115

• UMass-Foundation-Model/Co-LLM-Agents

  Source codes for the paper "Building Cooperative Embodied Agents Modularly with Large Language Models"

  Language:Python18832126

• 3d-vista/3D-VisTA

  Official implementation of ICCV 2023 paper "3D-VisTA: Pre-trained Transformer for 3D Vision and Text Alignment"

  Language:Python1735267

• rgbkrk/chatlab

  ⚡️🧪 Fast LLM Tool Calling Experimentation, big and smol

  Language:Jupyter Notebook12292812

• AIR-DISCOVER/TOIST

  [NeurIPS 2022] TOIST: Task Oriented Instance Segmentation Transformer with Noun-Pronoun Distillation

  Language:Python121504

• wyf0912/ExposureDiffusion

  [ICCV 2023] ExposureDiffusion: Learning to Expose for Low-light Image Enhancement

  Language:Python9531011

• kernelmachine/silo-lm

  SILO Language Models code repository

  Language:Python803310

• bo-miao/SgMg

  [ICCV 2023] Spectrum-guided Multi-granularity Referring Video Object Segmentation.

  Language:Python76559

• zyhbili/LivelySpeaker

  [ICCV-2023] The official repo for the paper "LivelySpeaker: Towards Semantic-aware Co-Speech Gesture Generation".

  Language:Python688189

• dki-lab/Pangu

  Code for reproducing the ACL'23 paper: Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments

  Language:Python678209

• lyx0208/3dSwap

  Code and project page for "3D-aware Face Swapping" in CVPR 2023

  Language:Python67483

• wpy1999/BAS

  [CVPR2022] PyTorch implementation of ''Background Activation Suppression for Weakly Supervised Object Localization''.

  Language:Python43356

• rpl-cmu/neusis

  Release code for Neural Implicit Surface Reconstruction using Imaging Sonar (ICRA 2023)

  Language:Python38638

• bytedance/DQ-Det

  Codes for ICML 2023 Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation

  Language:Python34424

• islamamirul/PermuteNet

  Language:Python33921

• KoMyeongJin/SpecDiff-GAN

  Adversarial Training of Denoising Diffusion Model Using Dual Discriminators for High-Fidelity Multi-Speaker TTS

  Language:Python29517

• ziweiWWANG/EFR

  Code and dataset for paper "A Linear Comb Filter for Event Flicker Removal", ICRA 2022. An asynchronous linear filter to preprocess event data to remove unwanted flicker events from an event stream.

  Language:C++28344

• clear-nus/NCDSSM

  PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series".

  Language:Python21311

• NeurAI-Lab/DoGo

  This is the official repo for the CVPR 2021 L2ID paper "Distill on the Go: Online knowledge distillation in self-supervised learning"

  Language:Python12001

• luilui97/DSPP

  ACCV2022 Source Code of paper "Feature Decoupled Knowledge Distillation via Spatial Pyramid Pooling"

  Language:Python9101