TrenTorch
Module
Problemset
DSA sheet
Research paper
Learn
Roadmap
soon
Problem of the day
A new question, featured every day
Blogs
soon
Writeups from the team
GitHub
GitHub
Toggle menu
papers/
Research papers
Read the paper, then write the idea yourself.
10
Tracks
120
Papers
360
Implementations
01
Neural Network Foundations
Backpropagation, convolutions and the architectures that made deep learning work.
12 papers
02
Optimization & Training
Optimizers, normalization and the tricks that make large models train stably.
12 papers
03
Transformers & LLMs
The transformer, pretraining at scale and instruction following.
12 papers
04
Classical ML & Learning Theory
Ensembles, margins and the theory behind generalization.
12 papers
05
Reinforcement Learning & Alignment
Policy gradients, PPO and preference-based fine-tuning.
12 papers
06
Unsupervised & Representation Learning
Autoencoders, word embeddings and contrastive learning.
12 papers
07
Computer Vision
Residual networks, vision transformers and diffusion models for images.
12 papers
08
Agentic Systems
Reasoning and acting with language models, tool use and self-correction.
12 papers
09
Inference, Distributed & Production
Memory-efficient attention, large-model serving and distributed training.
12 papers
10
Sequence Models & Attention
Recurrent models, sequence-to-sequence learning and the birth of attention.
12 papers
