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ML-introduction---Data-Preparation
Hackathon-2023---Med
ML-introduction---Model-Selection
AI---Algorithms
BFS, DFS, UCS, GREEDY, A-STAR (including weighted and epsilon)AI---RL-Value-Iterartion-and-Q-Learning-and-Decision-Trees
Assembly-Exersices
Deep-Learning---Essentials
Backpropagation, Optimization algorithms for deep learning, Training Multilayer perceptrons, Decision boundaries, threshold selection, Convolutional neural networks, Residual blocks, Network architecture, YOLOMultiplier-FSM-SV
Groups-Game-AVL-Tree-based-
RPG-Game
Data-processing---Periodic-noise-filtering
Bioinformatics---Research-Project
ML-introduction---Regression
Chess-System
Network-Server
Generic-Linked-List-CPP
Deep-Learning---Transformers-and-more
Char-rnn, Variational autoencoder for image generation, Transformers with long input, FineTune a pre-traied transformersFiles-Strings---PYTHON
Data-processing---Bit-Allocation
Multicycle-RISC-V-Extension-SV
Malloc-Implementations
Small-Shell-Linux-
SIGILL-Modified-Handler
ALU-implementation-SV
AI-Game-Algorithms---Minimax-Expectimax
Custom-Debugger
Groups-Game-Ranked-Tree-Trie-Union-Find-based-
Sys-Calls-Extension
Data-processing---Pseudo-inverse-filter
Deep-Learning---PyTorch
Data-Processing---Quantization-Subsampling-Reconstruction
Deep-Learning---DeepEthogram-Project
Action Detection task, improving DeepEthogram NNHamming-Weight-Ex
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