Priyam Mazumdar
I am a Neuroscientist and Statistician that has become obsessed with AI and I hope to explore different architectures in a way that is accessible to anyone! My goal is to cut through that cloud of mystery that surrounds AI and democratize knowledge about it!
Lets Build our own PyTorch Part 2: A Fully Functional Autograd From Scratch
Lets Build our own PyTorch Part 1: Running GPU Ops in Numpy!
Dubling Deep-Q-Learning: в чем мое преимущество?
Stable Diffusion From Scratch: Perceptual Loss Functions (LPIPS + PatchGAN)
The Autogradless Transformer: Training a GPT2 Model With Nothing but Numpy!
Double Deep-Q-Learning: решение проблемы переоценки
Build your own Voice Generator w/ Tacotron 2: Text-To-Speech (TTS) From Scratch
Language Diffusion Models From Scratch: Maybe Diffusion is All We Need?
Let's Reproduce Wav2Vec2: Quantized Speech Pre-Training!
Deep Q-Learning (DQN): Who Wants Tables Anyway?
Wav2Vec 2.0: Paper Overview
Gumbel Softmax Quantization: Differentiable Discrete Sampling
TD-Lambda: Blending N-Step Return Estimates
N-шаговое TD-обучение: поиск компромисса между смещением и дисперсией
Automatic Speech Recognition (ASR) From Scratch w/ DeepSpeech2
Connectionist Temporal Classification (CTC) From Scratch
Q-Learning: Off-Policy Model-Free Learning
SARSA: On-Policy Model-Free Learning
Online Monte Carlo Methods for Model-Free Learning: Part 2
Diffusion From Scratch in PyTorch: Unconditional Image Generation
Intro to Audio Processing for Deep Learning
Monte Carlo Methods for Model-Free Learning: Part 1
UNET From Scratch: Exploring Semantic Segmentation
Mathing the Diffusion Model: Where do all those Equations Come From??
DCGAN From Scratch
Conditional GAN: Controlling your Generation
Value Iteration
Mathing the Generative Adversarial Network
Policy Iteration