Massively Parallel Deep Reinforcement Learning. 🔥
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Updated
May 25, 2024 - Python
Massively Parallel Deep Reinforcement Learning. 🔥
Multi Color Channel Based QR Code Generator and Reader
Efficient and Lightweight Ear Segmentation AI Model
2D discrete Wavelet Transform for Image Classification and Segmentation
Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering"
[TMLR] CoDeC: Communication-Efficient Decentralized Continual Learning
An efficient pytorch implementation of selective scan in one file, works with both cpu and gpu, with corresponding mathematical derivation. It is probably the code which is the most close to selective_scan_cuda in mamba.
[EMNLP 2022 Findings] Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study
Non-Deterministic Processor (NDP) - efficient parallel SAT-solver
Implementation of EfficientNet model. Keras and TensorFlow Keras.
RGCVAE: Relational Graph Conditioned Variational Autoencoder for Molecule Design
Utilities for efficient fine-tuning, inference and evaluation of code generation models
Non-Deterministic Processor (NDP) - efficient parallel SAT-solver
A User friendly software prepared with the focus of high security and integrity with regards to Offensive security
Elixir: Train a Large Language Model on a Small GPU Cluster
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