inotiafvrimmer's Stars
taon1607/ML-projects-practicing
机器学习项目实战
Mryangkaitong/python-Machine-learning
机器学习算法项目
krishnakumarsekar/awesome-quantum-machine-learning
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
AgnostiqHQ/covalent
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
mgg39/Quantum-tech-papers
My personal quantum paper library
mit-han-lab/torchquantum
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.
pkuxmq/HLOP-SNN
[ICLR 2024] Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
xyshi2000/Unstructured-Pruning
Codes of the paper: Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework (ICLR2024)
BlinkDL/RWKV-LM
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
NeuroCompLab-psu/SpikingBERT
This project contains code for the paper titled "SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation".
yfguo91/Ternary-Spike
Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks
kmheckel/spyx
Spyx: Spiking Neural Networks in JAX
ZhangShimin1/TC-LIF
Two-Compartment Leaky Integrate-and-Fire Model
BICLab/ASA-SNN
Offical implementation of "Inherent Redundancy in Spiking Neural Networks" (ICCV2023)
Event-AHU/SSTFormer
[PokerEvent Benchmark Dataset & SNN-ANN Baseline] Official PyTorch implementation of "SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition"
AndyCao1125/SDDPM
[WACV 2024] Spiking Denoising Diffusion Probabilistic Models
qymeng94/SLTT
[ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks
Ikarosy/Gated-LIF
GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster
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, ... 🧠
Intelligent-Microsystems-Lab/OTPE
SpikingChen/SNN-Daily-Arxiv
Update arXiv papers about Spiking Neural Networks daily.
OpenBMB/ToolBench
[ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning.
open-neuromorphic/hands-on-session-snntorch-230302
BICLab/EMS-YOLO
Offical implementation of "Deep Directly-Trained Spiking Neural Networks for Object Detection" (ICCV2023)
AXYZdong/awesome-snn-conference-paper
🔥 This repo compiles top conference papers and code for Spiking Neural Networks research. The project is actively evolving. 本仓库收集了脉冲神经网络领域的顶会顶刊论文和代码,正在持续更新中。
xing61/zzz-api
优质稳定的OpenAI的API接口-For企业和开发者。OpenAI的api proxy,支持ChatGPT的API调用,支持openai的API接口,支持:gpt-4,gpt-3.5。不需要openai Key, 不需要买openai的账号,不需要美元的银行卡,通通不用的,直接调用就行,稳定好用!!智增增
saten-private/BabyCommandAGI
BabyCommandAGI is designed to test what happens when you combine CLI and LLM, which are older computer interfaces than GUI. Based on BabyAGI, and using GPT-4 API. Imagine LLM and CLI having a conversation. It's exciting to think about what could happen. I hope you will all try it out.
erikgahner/PolData
A dataset with political datasets
awslabs/gluonts
Probabilistic time series modeling in Python
joonspk-research/generative_agents
Generative Agents: Interactive Simulacra of Human Behavior