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Notes of Machine Learning
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Notes of Machine Learning

SMs, Cores, Threads, Blocks, SMA, coalesced memory
SAEs and compression
State of interpretability
How transformers work; encoder decoder diff, how inputs gets passed
ELBO losses, posterior approx
Inverse neural network
Understanding ViVit and how videos are being encoded
Stock market prediction with RNN
Speech deepdive
Kalman filter + self driving
vector search
Word & Sentence embeddings
LSTM vs RNN vs Transformer
Encoder-decoder vs transformer
TTS
Deep Autoregressive models
Attention is all you need
Word2vec
SadTalker
Video vision transformer
SoRa
Diffusion models beat GAN
NaVit
Imagen Video: video gen with diffusion
Dall-E
Dall-E + code
Constrain LLM to specific output
REALLY USEFUL(transformer tips for training)
Auto encoding variational bayes
CoTV: Cooperative control for Traffic Lights
Copyright 2022 Shivam Gupta