Pinned Repositories
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, ... 🧠
attorch
A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
automemcpy
Bayesian-Machine-Learning
Code for the Assignment given in CSE515 Bayesian Machine Learning
CSE511_CA_project
RISCV RV32i Simulator and Assembler
Distributed-Database-with-Raft-Consensus-Algorithm
Implemented a database storing string key-value pairs using Raft Consensus Algorithm, ensuring consistent data replication and fault recovery across the distributed network of nodes. Obtained Linearizable Reads without paying high latency penalties for each request by utilizing the leader lease mechanism.
Linear-Optimization-Simplex-Algorithm
From scratch implementation of Dantzig's Simplex Algorithm to find optimal solutions to linear programs in canonical form.
Machine-Learning-Project
Modeling Stock Market Returns using Statistical, Classical Machine Learning and Deep Learning Models trained on CNNPred Dataset
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.
TransformerLens
A library for mechanistic interpretability of GPT-style language models
Vaibtan's Repositories
Vaibtan/stable-matching-suite
SAT implementation of stable matching problem with couples and reference implementations of deferred acceptance algorithms.
Vaibtan/libcoders-compression-lib
File compression library | Shennon | Fano | Huffman | Bigram Huffman | Adaptive Huffman | Arithmetic coding
Vaibtan/mibench
The MiBench testsuite, extended for use in general embedded environments
Vaibtan/snr_issues_in_deep_gps
experimentation for CSE-515 Bayesian Machine Learning project