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T-Shaped Developer
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Mohamed Ameen
@mohamedameen-io
Claude
@claude
Boyes-Lab
@Boyes-Lab
Daniel Cameron
@d-cameron
Anand Mayakonda
@PoisonAlien
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By study this, it won't be costly or time-consuming to customize a NGS data analysis pipeline
In this repository, I will publish my notes for GaTech's Machine Learning course CS7641.
A collection of study materials for OMSCS CS7641 Machine Learning.
Research code accompanying AlphaGenome
Implemented fundamental CNN modules from scratch including 2D Convolution, Max Pooling, ReLU, and Linear layers with both forward and backward passes Developed a custom SGD optimizer with momentum, implementing velocity-based weight updates for improved convergence
Implemented and evaluated a progression of sequence-to-sequence (Seq2Seq) architectures for neural machine translation, culminating in a full Transformer model.Built and compared four Seq2Seq architectures — Vanilla RNN, LSTM, RNN with Attention, and LSTM with Attention analyzing the impact of gating mechanisms and attention on translation quality
1. Variational Autoencoder 2. Generative adversarial network 3. Simple diffusion (denoising) 4.Denoising diffusion probabilistic models (DDPM)
starter from "How to Train a GAN?" at NIPS2016
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