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The source code for the paper "Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization"
Large Scale Deep Learning Models course at Constructor University Bremen
Source code for NeurIPS-2024 paper "Where Do Large Learning Rates Lead Us"
[NeurIPS 2024 Oral][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-sim…
Code for paper "Compositional Sculpting of Iterative Generative Processes"
Efficient Deep Learning Systems course materials (HSE, YSDA)
GFlowNet library specialized for graph & molecular data
Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
PyTorch Template for DL projects
Repository for "Generative Flow Networks as Entropy-Regularized RL" (AISTATS-2024, Oral)
Reading club about Deep Learning, LLM, RL and so on
Tutorial on generative models based on ordinary (ODE) and stochastic (SDE) differential equations
[ICML 2022] Representation Topology Divergence: A Method for Comparing Neural Network Representations
Введение в глубинное обучение на ФКН ВШЭ
Source code for NeurIPS 2023 paper "To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning"
I implemented: 2 tasks and all polygon files (like tests, checker etc.) for programming contests, you can see an example of a programming contest at the codeforces.com, 1 Machine Learning task for …
A collection of resources and papers on Diffusion Models
Materials for the Deep Learning 2 course at HSE AMI
Машинное обучение на ФКН ВШЭ